AI Solutions Architect - Agentic Analytics

Design and deliver AI-powered analytics solutions and applications on GoodData Cloud, combining modern BI, governed semantic models, LLMs, APIs, and custom workflows.
Design and prototype agentic solutions with customers. Translate business requirements into agent flows, tool definitions, and integration patterns using GoodData's agentic platform and MCP/A2A protocols. Guide customers from POC to production-ready architecture.
Own customer-facing AI and analytics initiatives end-to-end, from problem definition and discovery through solution design, prototyping, implementation, and production delivery.
Work directly with US-market customers as a trusted technical advisor. Lead deep-dive discussions on business requirements, reporting roadmaps, workflows, target personas, product strategy, and measurable business outcomes.
Contribute to AI architecture decisions, including build / buy / partner evaluations, TCO, governance, scalability, compliance, and secure multi-tenant design.
Implement AI capabilities using LLM APIs, prompt design, structured outputs, embeddings, vector search, REST APIs, scripting, and GoodData Cloud extensibility.
Work with technologies such as Python, modern data platforms, semantic layers, and vector databases such as Qdrant to prototype and deliver customer-specific AI analytics solutions.
Coordinate technical solution design across consulting, product, sales, and support teams to ensure customer needs are translated into scalable, maintainable implementations.
Help build the team's delivery capability. Contribute reusable solution templates, document delivery methodology for agentic projects, and share learnings from customer engagements to raise the bar across the team.